Myles Thiessen

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I am a PhD student in the Department of Computer Science at the University of Toronto. I have the pleasure of being advised by Professors Eyal de Lara and Sam Toueg. Broadly speaking, my research interests are in the theory and practice of distributed computing. My recent research has focused on efficient linearizable object implementations in shared-memory and message-passing systems.

Publications

2026

  1. Generalized Compare-and-Swap and Space-Efficient Universal Constructions for the Infinite-Arrival Model
    Vassos Hadzilacos, Myles Thiessen, and Sam Toueg
    In ACM Symposium on Principles of Distributed Computing, 2026

2025

  1. Asymmetric Linearizable Local Reads
    Myles Thiessen, Guy Khazma, Sam Toueg, and Eyal De Lara
    Proceedings of the VLDB Endowment, 2025

2024

  1. Falcon: Live Reconfiguration for Stateful Stream Processing on the Edge
    Pritish Mishra, Nelson Bore, Brian Ramprasad, Myles Thiessen, Moshe Gabel, Alexandre Da Silva Veith, Oana Balmau, and Eyale De Lara
    In 2024 IEEE/ACM Symposium on Edge Computing (SEC), 2024
  2. PathFS: A File System for the Hierarchical Edge
    Vinicius Dantas Lima Melo, Myles Thiessen, Aleksey Panas, Alexandre Silva Veith, Keijiro Yano, Oana Balmau, and Eyal Lara
    In Proceedings of the 7th International Workshop on Edge Systems, Analytics and Networking, 2024
  3. Towards Reconfigurable Linearizable Reads
    Myles Thiessen, Aleksey Panas, Guy Khazma, and Eyal Lara
    arXiv preprint arXiv:2404.05470, 2024
  4. Generalized Compare and Swap
    Vassos Hadzilacos, Myles Thiessen, and Sam Toueg
    arXiv preprint arXiv:2410.19102, 2024
  5. Wayfinder: Speeding up Key-Value Separation by Avoiding I/O Based Indirection
    Guy Khazma, Myles Thiessen, Eyal Lara, and Niv Dayan
    In Proceedings of the 2nd Workshop on Simplicity in Management of Data, 2024

2022

  1. Shepherd: Seamless Stream Processing on the Edge
    Brian Ramprasad, Pritish Mishra, Myles Thiessen, Hongkai Chen, Alexandre Silva Veith, Moshe Gabel, Oana Balmau, Abelard Chow, and Eyal Lara
    In 2022 IEEE/ACM 7th Symposium on Edge Computing (SEC), 2022